chore(model gallery): 🤖 add 1 new models via gallery agent

gallery/index.yaml

@@ -1,4 +1,95 @@
 ---
+- name: "kimi-k2.6"
+  url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
+  urls:
+    - https://huggingface.co/unsloth/Kimi-K2.6-GGUF
+  description: |
+    🤗  huggingchat
+     | 
+    📰  Tech Blog
+
+    ## 1. Model Introduction
+
+    Kimi K2.6 is an open-source, native multimodal agentic model that advances practical capabilities in long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration.
+
+    ### Key Features
+      - **Long-Horizon Coding**: K2.6 achieves significant improvements on complex, end-to-end coding tasks, generalizing robustly across programming languages (Rust, Go, Python) and domains spanning front-end, DevOps, and performance optimization.
+      - **Coding-Driven Design**: K2.6 is capable of transforming simple prompts and visual inputs into production-ready interfaces and lightweight full-stack workflows, generating structured layouts, interactive elements, and rich animations with deliberate aesthetic precision.
+      - **Elevated Agent Swarm**: Scaling horizontally to 300 sub-agents executing 4,000 coordinated steps, K2.6 can dynamically decompose tasks into parallel, domain-specialized subtasks, delivering end-to-end outputs from documents to websites to spreadsheets in a single autonomous run.
+      - **Proactive & Open Orchestration**: For autonomous tasks, K2.6 demonstra
+
+    ...
+  license: "other"
+  tags:
+    - llm
+    - gguf
+  icon: https://huggingface.co/moonshotai/Kimi-K2.6/resolve/main/figures/kimi-logo.png
+  overrides:
+    backend: llama-cpp
+    function:
+      automatic_tool_parsing_fallback: true
+      grammar:
+        disable: true
+    known_usecases:
+      - chat
+    mmproj: llama-cpp/mmproj/Kimi-K2.6-GGUF/mmproj-F32.gguf
+    options:
+      - use_jinja:true
+    parameters:
+      min_p: 0.01
+      model: llama-cpp/models/Kimi-K2.6-GGUF/Kimi-K2.6-UD-Q8_K_XL-00001-of-00014.gguf
+      repeat_penalty: 1
+      temperature: 0.6
+      top_k: -1
+      top_p: 0.95
+    template:
+      use_tokenizer_template: true
+  files:
+    - filename: llama-cpp/models/Kimi-K2.6-GGUF/Kimi-K2.6-UD-Q8_K_XL-00001-of-00014.gguf
+      sha256: 38ae3099572fccba0e8864f7119d20ba0d87d8314a4cec49b145505e340571ce
+      uri: https://huggingface.co/unsloth/Kimi-K2.6-GGUF/resolve/main/UD-Q8_K_XL/Kimi-K2.6-UD-Q8_K_XL-00001-of-00014.gguf
+    - filename: llama-cpp/models/Kimi-K2.6-GGUF/Kimi-K2.6-UD-Q8_K_XL-00002-of-00014.gguf
+      sha256: 766267c7798df6db531c87e3a8f4835e528e54c67ec4ed7bbae30df6ef7e70a3
+      uri: https://huggingface.co/unsloth/Kimi-K2.6-GGUF/resolve/main/UD-Q8_K_XL/Kimi-K2.6-UD-Q8_K_XL-00002-of-00014.gguf
+    - filename: llama-cpp/models/Kimi-K2.6-GGUF/Kimi-K2.6-UD-Q8_K_XL-00003-of-00014.gguf
+      sha256: a88b1c24c8ce763e336b2c6a4da76ac0300ac6d903cdb14f04fb13ccec20457f
+      uri: https://huggingface.co/unsloth/Kimi-K2.6-GGUF/resolve/main/UD-Q8_K_XL/Kimi-K2.6-UD-Q8_K_XL-00003-of-00014.gguf
+    - filename: llama-cpp/models/Kimi-K2.6-GGUF/Kimi-K2.6-UD-Q8_K_XL-00004-of-00014.gguf
+      sha256: 8af9f903781a45007fd479656f8c1db1eb4d1b10ff6ee0ef1f4cda745e19ce23
+      uri: https://huggingface.co/unsloth/Kimi-K2.6-GGUF/resolve/main/UD-Q8_K_XL/Kimi-K2.6-UD-Q8_K_XL-00004-of-00014.gguf
+    - filename: llama-cpp/models/Kimi-K2.6-GGUF/Kimi-K2.6-UD-Q8_K_XL-00005-of-00014.gguf
+      sha256: 017e4aaf9bfe026b7e48891b656604dc8a652464e5d724bc3eb065d340545ffa
+      uri: https://huggingface.co/unsloth/Kimi-K2.6-GGUF/resolve/main/UD-Q8_K_XL/Kimi-K2.6-UD-Q8_K_XL-00005-of-00014.gguf
+    - filename: llama-cpp/models/Kimi-K2.6-GGUF/Kimi-K2.6-UD-Q8_K_XL-00006-of-00014.gguf
+      sha256: 452b515593db45f454d9b3afefee794a183487e55d8358980133c52b6542b4a4
+      uri: https://huggingface.co/unsloth/Kimi-K2.6-GGUF/resolve/main/UD-Q8_K_XL/Kimi-K2.6-UD-Q8_K_XL-00006-of-00014.gguf
+    - filename: llama-cpp/models/Kimi-K2.6-GGUF/Kimi-K2.6-UD-Q8_K_XL-00007-of-00014.gguf
+      sha256: defc50da805a7a7497c7785977c389666dfc1d25c667696e2007012ec790bff3
+      uri: https://huggingface.co/unsloth/Kimi-K2.6-GGUF/resolve/main/UD-Q8_K_XL/Kimi-K2.6-UD-Q8_K_XL-00007-of-00014.gguf
+    - filename: llama-cpp/models/Kimi-K2.6-GGUF/Kimi-K2.6-UD-Q8_K_XL-00008-of-00014.gguf
+      sha256: ffbee54e6c7bc1f9f3cb29dcc467ebe9a71de56f6f528057d4c86bf309da386b
+      uri: https://huggingface.co/unsloth/Kimi-K2.6-GGUF/resolve/main/UD-Q8_K_XL/Kimi-K2.6-UD-Q8_K_XL-00008-of-00014.gguf
+    - filename: llama-cpp/models/Kimi-K2.6-GGUF/Kimi-K2.6-UD-Q8_K_XL-00009-of-00014.gguf
+      sha256: a60aa52e9d1d3d9703ca86043c0b0f3876ef9456229e798b0f9a825dd9bec06f
+      uri: https://huggingface.co/unsloth/Kimi-K2.6-GGUF/resolve/main/UD-Q8_K_XL/Kimi-K2.6-UD-Q8_K_XL-00009-of-00014.gguf
+    - filename: llama-cpp/models/Kimi-K2.6-GGUF/Kimi-K2.6-UD-Q8_K_XL-00010-of-00014.gguf
+      sha256: 40d6527c5076ce8a5d9d4a2cd8dff6ee51d0c656e6fb1243c864ab37c5aef4a5
+      uri: https://huggingface.co/unsloth/Kimi-K2.6-GGUF/resolve/main/UD-Q8_K_XL/Kimi-K2.6-UD-Q8_K_XL-00010-of-00014.gguf
+    - filename: llama-cpp/models/Kimi-K2.6-GGUF/Kimi-K2.6-UD-Q8_K_XL-00011-of-00014.gguf
+      sha256: 561f178b027e7f3e5078716039867bac9c8446a393c430f20af471f91ff9dd70
+      uri: https://huggingface.co/unsloth/Kimi-K2.6-GGUF/resolve/main/UD-Q8_K_XL/Kimi-K2.6-UD-Q8_K_XL-00011-of-00014.gguf
+    - filename: llama-cpp/models/Kimi-K2.6-GGUF/Kimi-K2.6-UD-Q8_K_XL-00012-of-00014.gguf
+      sha256: d4470123eeeff2cc01d5319122a96a53278a6448e7030500f7878117dfac0c1a
+      uri: https://huggingface.co/unsloth/Kimi-K2.6-GGUF/resolve/main/UD-Q8_K_XL/Kimi-K2.6-UD-Q8_K_XL-00012-of-00014.gguf
+    - filename: llama-cpp/models/Kimi-K2.6-GGUF/Kimi-K2.6-UD-Q8_K_XL-00013-of-00014.gguf
+      sha256: 72ce8c04dbb57a0677f6d44e4b1b35299a8820870a1e38ebf6a1e2e651d5b164
+      uri: https://huggingface.co/unsloth/Kimi-K2.6-GGUF/resolve/main/UD-Q8_K_XL/Kimi-K2.6-UD-Q8_K_XL-00013-of-00014.gguf
+    - filename: llama-cpp/models/Kimi-K2.6-GGUF/Kimi-K2.6-UD-Q8_K_XL-00014-of-00014.gguf
+      sha256: cd1f1fe7ea0a6bba0fd4780e8b286b6baa97e00e4844ced0c6a86d0ff0e8de48
+      uri: https://huggingface.co/unsloth/Kimi-K2.6-GGUF/resolve/main/UD-Q8_K_XL/Kimi-K2.6-UD-Q8_K_XL-00014-of-00014.gguf
+    - filename: llama-cpp/mmproj/Kimi-K2.6-GGUF/mmproj-F32.gguf
+      sha256: 9e721737d6beccf80b68b2307ed967ddac9e44e7d6b83b7297eacdec34efad24
+      uri: https://huggingface.co/unsloth/Kimi-K2.6-GGUF/resolve/main/mmproj-F32.gguf
 - name: "qwopus3.6-27b-v1-preview"
   url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
   urls:
@@ -1455,7 +1546,7 @@
       - "offload_to_cpu:false"
       - "offload_dit_to_cpu:false"
       - "init_lm:true"
       - "lm_model_path:acestep-5Hz-lm-0.6B" # or acestep-5Hz-lm-4B
       - "lm_backend:pt"
       - "temperature:0.85"
       - "top_p:0.9"
@@ -1834,7 +1925,7 @@
     known_usecases:
       - tts
     tts:
       voice: Aiden # Available speakers: Vivian, Serena, Uncle_Fu, Dylan, Eric, Ryan, Aiden, Ono_Anna, Sohee
     parameters:
       model: Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice
 - !!merge <<: *qwen-tts
@@ -1846,7 +1937,7 @@
     known_usecases:
       - tts
     tts:
       voice: Aiden # Available speakers: Vivian, Serena, Uncle_Fu, Dylan, Eric, Ryan, Aiden, Ono_Anna, Sohee
     parameters:
       model: Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice
 - &fish-speech
@@ -6634,7 +6725,7 @@
     - gemma3
     - gemma-3
   overrides:
     #mmproj: gemma-3-27b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-27b-it-Q4_K_M.gguf
   files:
@@ -6652,7 +6743,7 @@
   description: |
     google/gemma-3-12b-it is an open-source, state-of-the-art, lightweight, multimodal model built from the same research and technology used to create the Gemini models. It is capable of handling text and image input and generating text output. It has a large context window of 128K tokens and supports over 140 languages. The 12B variant has been fine-tuned using the instruction-tuning approach. Gemma 3 models are suitable for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes them deployable in environments with limited resources such as laptops, desktops, or your own cloud infrastructure.
   overrides:
     #mmproj: gemma-3-12b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-12b-it-Q4_K_M.gguf
   files:
@@ -6670,7 +6761,7 @@
   description: |
     Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone. Gemma-3-4b-it is a 4 billion parameter model.
   overrides:
     #mmproj: gemma-3-4b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-4b-it-Q4_K_M.gguf
   files: